Overview

Brought to you by YData

Dataset statistics

Number of variables38
Number of observations1053
Missing cells21506
Missing cells (%)53.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory320.8 KiB
Average record size in memory312.0 B

Variable types

Numeric30
Text5
Categorical3

Alerts

solution_id has constant value "1.6361480689213768e+18"Constant
discoverymethod is highly imbalanced (95.1%)Imbalance
df_index has 500 (47.5%) missing valuesMissing
pl_name has 500 (47.5%) missing valuesMissing
hostname has 500 (47.5%) missing valuesMissing
discoverymethod has 500 (47.5%) missing valuesMissing
disc_year has 500 (47.5%) missing valuesMissing
pl_orbper has 500 (47.5%) missing valuesMissing
pl_rade has 511 (48.5%) missing valuesMissing
pl_bmasse has 618 (58.7%) missing valuesMissing
pl_eqt has 573 (54.4%) missing valuesMissing
st_teff has 510 (48.4%) missing valuesMissing
st_mass has 500 (47.5%) missing valuesMissing
st_rad has 503 (47.8%) missing valuesMissing
sy_dist has 502 (47.7%) missing valuesMissing
sy_vmag has 501 (47.6%) missing valuesMissing
rastr has 500 (47.5%) missing valuesMissing
decstr has 500 (47.5%) missing valuesMissing
solution_id has 553 (52.5%) missing valuesMissing
designation has 553 (52.5%) missing valuesMissing
source_id has 553 (52.5%) missing valuesMissing
ra has 553 (52.5%) missing valuesMissing
dec has 553 (52.5%) missing valuesMissing
parallax has 670 (63.6%) missing valuesMissing
pmra has 670 (63.6%) missing valuesMissing
pmdec has 670 (63.6%) missing valuesMissing
ra_error has 553 (52.5%) missing valuesMissing
dec_error has 553 (52.5%) missing valuesMissing
parallax_error has 670 (63.6%) missing valuesMissing
pmra_error has 670 (63.6%) missing valuesMissing
pmdec_error has 670 (63.6%) missing valuesMissing
astrometric_n_obs_al has 553 (52.5%) missing valuesMissing
astrometric_n_good_obs_al has 553 (52.5%) missing valuesMissing
astrometric_n_bad_obs_al has 553 (52.5%) missing valuesMissing
phot_g_mean_mag has 554 (52.6%) missing valuesMissing
phot_bp_mean_mag has 560 (53.2%) missing valuesMissing
phot_rp_mean_mag has 558 (53.0%) missing valuesMissing
radial_velocity has 1033 (98.1%) missing valuesMissing
radial_velocity_error has 1033 (98.1%) missing valuesMissing
df_index is uniformly distributedUniform
astrometric_n_bad_obs_al has 173 (16.4%) zerosZeros

Reproduction

Analysis started2024-09-19 12:05:48.002260
Analysis finished2024-09-19 12:07:45.415179
Duration1 minute and 57.41 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ)

MISSING  UNIFORM 

Distinct553
Distinct (%)100.0%
Missing500
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean276
Minimum0
Maximum552
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:45.694849image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.6
Q1138
median276
Q3414
95-th percentile524.4
Maximum552
Range552
Interquartile range (IQR)276

Descriptive statistics

Standard deviation159.78162
Coefficient of variation (CV)0.57891892
Kurtosis-1.2
Mean276
Median Absolute Deviation (MAD)138
Skewness0
Sum152628
Variance25530.167
MonotonicityStrictly increasing
2024-09-19T17:37:45.845493image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
371 1
 
0.1%
365 1
 
0.1%
366 1
 
0.1%
367 1
 
0.1%
368 1
 
0.1%
369 1
 
0.1%
370 1
 
0.1%
372 1
 
0.1%
380 1
 
0.1%
373 1
 
0.1%
Other values (543) 543
51.6%
(Missing) 500
47.5%
ValueCountFrequency (%)
0 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
ValueCountFrequency (%)
552 1
0.1%
551 1
0.1%
550 1
0.1%
549 1
0.1%
548 1
0.1%
547 1
0.1%
546 1
0.1%
545 1
0.1%
544 1
0.1%
543 1
0.1%

pl_name
Text

MISSING 

Distinct553
Distinct (%)100.0%
Missing500
Missing (%)47.5%
Memory size16.5 KiB
2024-09-19T17:37:46.342256image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.9891501
Min length8

Characters and Unicode

Total characters5524
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique553 ?
Unique (%)100.0%

Sample

1st rowAU Mic b
2nd rowAU Mic c
3rd rowBD-14 3065 b
4th rowDS Tuc A b
5th rowGJ 1252 b
ValueCountFrequency (%)
b 424
34.4%
c 74
 
6.0%
hd 59
 
4.8%
a 26
 
2.1%
d 24
 
1.9%
hip 10
 
0.8%
tic 10
 
0.8%
gj 9
 
0.7%
e 7
 
0.6%
lhs 7
 
0.6%
Other values (467) 581
47.2%
2024-09-19T17:37:46.811651image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
678
12.3%
T 451
 
8.2%
I 446
 
8.1%
- 443
 
8.0%
O 426
 
7.7%
b 423
 
7.7%
1 380
 
6.9%
2 301
 
5.4%
3 230
 
4.2%
4 227
 
4.1%
Other values (35) 1519
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5524
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
678
12.3%
T 451
 
8.2%
I 446
 
8.1%
- 443
 
8.0%
O 426
 
7.7%
b 423
 
7.7%
1 380
 
6.9%
2 301
 
5.4%
3 230
 
4.2%
4 227
 
4.1%
Other values (35) 1519
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5524
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
678
12.3%
T 451
 
8.2%
I 446
 
8.1%
- 443
 
8.0%
O 426
 
7.7%
b 423
 
7.7%
1 380
 
6.9%
2 301
 
5.4%
3 230
 
4.2%
4 227
 
4.1%
Other values (35) 1519
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5524
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
678
12.3%
T 451
 
8.2%
I 446
 
8.1%
- 443
 
8.0%
O 426
 
7.7%
b 423
 
7.7%
1 380
 
6.9%
2 301
 
5.4%
3 230
 
4.2%
4 227
 
4.1%
Other values (35) 1519
27.5%

hostname
Text

MISSING 

Distinct450
Distinct (%)81.4%
Missing500
Missing (%)47.5%
Memory size16.5 KiB
2024-09-19T17:37:47.141458image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length16
Median length8
Mean length7.9674503
Min length6

Characters and Unicode

Total characters4406
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)68.9%

Sample

1st rowAU Mic
2nd rowAU Mic
3rd rowBD-14 3065 A
4th rowDS Tuc A
5th rowGJ 1252
ValueCountFrequency (%)
hd 62
 
8.8%
a 27
 
3.8%
tic 10
 
1.4%
hip 10
 
1.4%
gj 10
 
1.4%
lhs 7
 
1.0%
toi-1136 6
 
0.9%
toi-178 5
 
0.7%
ltt 5
 
0.7%
23472 5
 
0.7%
Other values (458) 557
79.1%
2024-09-19T17:37:47.628945image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 448
 
10.2%
I 443
 
10.1%
- 440
 
10.0%
O 423
 
9.6%
1 359
 
8.1%
2 302
 
6.9%
3 233
 
5.3%
4 227
 
5.2%
6 201
 
4.6%
8 186
 
4.2%
Other values (30) 1144
26.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4406
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 448
 
10.2%
I 443
 
10.1%
- 440
 
10.0%
O 423
 
9.6%
1 359
 
8.1%
2 302
 
6.9%
3 233
 
5.3%
4 227
 
5.2%
6 201
 
4.6%
8 186
 
4.2%
Other values (30) 1144
26.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4406
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 448
 
10.2%
I 443
 
10.1%
- 440
 
10.0%
O 423
 
9.6%
1 359
 
8.1%
2 302
 
6.9%
3 233
 
5.3%
4 227
 
5.2%
6 201
 
4.6%
8 186
 
4.2%
Other values (30) 1144
26.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4406
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 448
 
10.2%
I 443
 
10.1%
- 440
 
10.0%
O 423
 
9.6%
1 359
 
8.1%
2 302
 
6.9%
3 233
 
5.3%
4 227
 
5.2%
6 201
 
4.6%
8 186
 
4.2%
Other values (30) 1144
26.0%

discoverymethod
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.4%
Missing500
Missing (%)47.5%
Memory size16.5 KiB
Transit
550 
Transit Timing Variations
 
3

Length

Max length25
Median length7
Mean length7.0976492
Min length7

Characters and Unicode

Total characters3925
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTransit
2nd rowTransit
3rd rowTransit
4th rowTransit
5th rowTransit

Common Values

ValueCountFrequency (%)
Transit 550
52.2%
Transit Timing Variations 3
 
0.3%
(Missing) 500
47.5%

Length

2024-09-19T17:37:47.778573image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:37:47.929476image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
transit 553
98.9%
timing 3
 
0.5%
variations 3
 
0.5%

Most occurring characters

ValueCountFrequency (%)
i 565
14.4%
a 559
14.2%
n 559
14.2%
T 556
14.2%
r 556
14.2%
s 556
14.2%
t 556
14.2%
6
 
0.2%
m 3
 
0.1%
g 3
 
0.1%
Other values (2) 6
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3925
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 565
14.4%
a 559
14.2%
n 559
14.2%
T 556
14.2%
r 556
14.2%
s 556
14.2%
t 556
14.2%
6
 
0.2%
m 3
 
0.1%
g 3
 
0.1%
Other values (2) 6
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3925
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 565
14.4%
a 559
14.2%
n 559
14.2%
T 556
14.2%
r 556
14.2%
s 556
14.2%
t 556
14.2%
6
 
0.2%
m 3
 
0.1%
g 3
 
0.1%
Other values (2) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3925
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 565
14.4%
a 559
14.2%
n 559
14.2%
T 556
14.2%
r 556
14.2%
s 556
14.2%
t 556
14.2%
6
 
0.2%
m 3
 
0.1%
g 3
 
0.1%
Other values (2) 6
 
0.2%

disc_year
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.3%
Missing500
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean2022.1537
Minimum2018
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:48.026599image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile2019
Q12021
median2022
Q32023
95-th percentile2024
Maximum2024
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5591797
Coefficient of variation (CV)0.00077104908
Kurtosis-0.71656812
Mean2022.1537
Median Absolute Deviation (MAD)1
Skewness-0.55632688
Sum1118251
Variance2.4310415
MonotonicityNot monotonic
2024-09-19T17:37:48.145496image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2023 142
 
13.5%
2024 130
 
12.3%
2022 109
 
10.4%
2020 68
 
6.5%
2021 67
 
6.4%
2019 34
 
3.2%
2018 3
 
0.3%
(Missing) 500
47.5%
ValueCountFrequency (%)
2018 3
 
0.3%
2019 34
 
3.2%
2020 68
6.5%
2021 67
6.4%
2022 109
10.4%
2023 142
13.5%
2024 130
12.3%
ValueCountFrequency (%)
2024 130
12.3%
2023 142
13.5%
2022 109
10.4%
2021 67
6.4%
2020 68
6.5%
2019 34
 
3.2%
2018 3
 
0.3%

pl_orbper
Real number (ℝ)

MISSING 

Distinct553
Distinct (%)100.0%
Missing500
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean14.868614
Minimum0.23818244
Maximum482.8191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:48.308470image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.23818244
5-th percentile0.90892404
Q13.246075
median5.858858
Q313.79019
95-th percentile54.916766
Maximum482.8191
Range482.58092
Interquartile range (IQR)10.544115

Descriptive statistics

Standard deviation33.680011
Coefficient of variation (CV)2.2651748
Kurtosis83.083356
Mean14.868614
Median Absolute Deviation (MAD)3.755669
Skewness7.7491109
Sum8222.3436
Variance1134.3431
MonotonicityNot monotonic
2024-09-19T17:37:48.493690image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9014971 1
 
0.1%
1.96229325 1
 
0.1%
4.039709 1
 
0.1%
3.5514058 1
 
0.1%
4.5117244 1
 
0.1%
39.361826 1
 
0.1%
2.3505614 1
 
0.1%
1.266938 1
 
0.1%
4.6657965 1
 
0.1%
1.926907 1
 
0.1%
Other values (543) 543
51.6%
(Missing) 500
47.5%
ValueCountFrequency (%)
0.23818244 1
0.1%
0.3219225 1
0.1%
0.3524728 1
0.1%
0.3711281 1
0.1%
0.3994445 1
0.1%
0.4090677 1
0.1%
0.4378146 1
0.1%
0.4465688 1
0.1%
0.46292913 1
0.1%
0.4702743 1
0.1%
ValueCountFrequency (%)
482.8191 1
0.1%
271.9445 1
0.1%
260.79 1
0.1%
225.11781 1
0.1%
200.452 1
0.1%
165.7719 1
0.1%
141.834025 1
0.1%
124.72997 1
0.1%
104.854 1
0.1%
98.29838 1
0.1%

pl_rade
Real number (ℝ)

MISSING 

Distinct477
Distinct (%)88.0%
Missing511
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean5.910762
Minimum0.566
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:48.679975image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.566
5-th percentile1.1705
Q12.124
median3.0865
Q310.4155
95-th percentile15.6435
Maximum25
Range24.434
Interquartile range (IQR)8.2915

Descriptive statistics

Standard deviation5.1215644
Coefficient of variation (CV)0.86648124
Kurtosis0.073089478
Mean5.910762
Median Absolute Deviation (MAD)1.6675
Skewness1.0476498
Sum3203.633
Variance26.230422
MonotonicityNot monotonic
2024-09-19T17:37:48.842333image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.209 4
 
0.4%
3.2 4
 
0.4%
11.882 3
 
0.3%
2.6 3
 
0.3%
11.097 3
 
0.3%
2.39 3
 
0.3%
3.41 3
 
0.3%
16.141 3
 
0.3%
11.321 3
 
0.3%
13.675 2
 
0.2%
Other values (467) 511
48.5%
(Missing) 511
48.5%
ValueCountFrequency (%)
0.566 1
0.1%
0.685 1
0.1%
0.699 1
0.1%
0.75 1
0.1%
0.818 1
0.1%
0.85 1
0.1%
0.892 1
0.1%
0.903 1
0.1%
0.909 1
0.1%
0.914 1
0.1%
ValueCountFrequency (%)
25 1
0.1%
23.539 1
0.1%
22.754 1
0.1%
21.59 1
0.1%
19.851 1
0.1%
19.84 1
0.1%
19.728 1
0.1%
18.977 1
0.1%
18.495 2
0.2%
18.114 1
0.1%

pl_bmasse
Real number (ℝ)

MISSING 

Distinct388
Distinct (%)89.2%
Missing618
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean269.88695
Minimum0.4
Maximum7024.0078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:48.995589image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile2.297
Q17.8715
median24.1
Q3217.71246
95-th percentile1157.8489
Maximum7024.0078
Range7023.6078
Interquartile range (IQR)209.84096

Descriptive statistics

Standard deviation694.19915
Coefficient of variation (CV)2.5721849
Kurtosis38.466165
Mean269.88695
Median Absolute Deviation (MAD)21.09
Skewness5.4951031
Sum117400.82
Variance481912.47
MonotonicityNot monotonic
2024-09-19T17:37:49.142063image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 4
 
0.4%
13.2 3
 
0.3%
731.00534 3
 
0.3%
260.61929 3
 
0.3%
9.6 3
 
0.3%
19.5 3
 
0.3%
9.7 3
 
0.3%
1.58 2
 
0.2%
15.2 2
 
0.2%
11 2
 
0.2%
Other values (378) 407
38.7%
(Missing) 618
58.7%
ValueCountFrequency (%)
0.4 1
0.1%
0.55 1
0.1%
0.633 1
0.1%
0.72 1
0.1%
0.77 1
0.1%
1.258 1
0.1%
1.32 1
0.1%
1.4 1
0.1%
1.42 1
0.1%
1.44 1
0.1%
ValueCountFrequency (%)
7024.00779 1
0.1%
5879.82553 1
0.1%
4386.054 1
0.1%
4096.80817 1
0.1%
4049.13391 1
0.1%
3932 1
0.1%
2955.80419 1
0.1%
2946.26933 1
0.1%
2011.8639 1
0.1%
1951.46642 1
0.1%

pl_eqt
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)84.2%
Missing573
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean944.37708
Minimum163
Maximum3646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:49.314051image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum163
5-th percentile358.75
Q1591.75
median805.5
Q31252.25
95-th percentile1804
Maximum3646
Range3483
Interquartile range (IQR)660.5

Descriptive statistics

Standard deviation476.33794
Coefficient of variation (CV)0.5043938
Kurtosis1.8522103
Mean944.37708
Median Absolute Deviation (MAD)277.5
Skewness1.0953526
Sum453301
Variance226897.83
MonotonicityNot monotonic
2024-09-19T17:37:49.492029image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703 4
 
0.4%
435 3
 
0.3%
759 3
 
0.3%
722 3
 
0.3%
1264 3
 
0.3%
1198 3
 
0.3%
1062 3
 
0.3%
634 3
 
0.3%
650 3
 
0.3%
714 3
 
0.3%
Other values (394) 449
42.6%
(Missing) 573
54.4%
ValueCountFrequency (%)
163 1
0.1%
191 1
0.1%
217 1
0.1%
234 1
0.1%
256 1
0.1%
284 1
0.1%
297 1
0.1%
300 1
0.1%
306 1
0.1%
308 1
0.1%
ValueCountFrequency (%)
3646 1
0.1%
2609 1
0.1%
2370 1
0.1%
2310 1
0.1%
2290 1
0.1%
2155 1
0.1%
2141 1
0.1%
2132 1
0.1%
2130 1
0.1%
2128 1
0.1%

st_teff
Real number (ℝ)

MISSING 

Distinct406
Distinct (%)74.8%
Missing510
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean5006.3152
Minimum2850
Maximum8500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:49.657612image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum2850
5-th percentile3302.2
Q13965
median5281
Q35801.5
95-th percentile6309
Maximum8500
Range5650
Interquartile range (IQR)1836.5

Descriptive statistics

Standard deviation1054.5263
Coefficient of variation (CV)0.21063921
Kurtosis-0.87006618
Mean5006.3152
Median Absolute Deviation (MAD)697
Skewness-0.29063961
Sum2718429.2
Variance1112025.7
MonotonicityNot monotonic
2024-09-19T17:37:49.807518image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5770 6
 
0.6%
4684 5
 
0.5%
4316 5
 
0.5%
3459 4
 
0.4%
5372 4
 
0.4%
5660 4
 
0.4%
6000 4
 
0.4%
5213 3
 
0.3%
3985 3
 
0.3%
5550 3
 
0.3%
Other values (396) 502
47.7%
(Missing) 510
48.4%
ValueCountFrequency (%)
2850 1
0.1%
2960 2
0.2%
3036 1
0.1%
3072 1
0.1%
3075 2
0.2%
3100 1
0.1%
3131 1
0.1%
3180 1
0.1%
3185 2
0.2%
3194 1
0.1%
ValueCountFrequency (%)
8500 1
0.1%
7700 1
0.1%
7690 1
0.1%
7360 1
0.1%
6935 1
0.1%
6860 1
0.1%
6850 1
0.1%
6801 1
0.1%
6643 1
0.1%
6630 1
0.1%

st_mass
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)25.0%
Missing500
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean0.85801085
Minimum0.12
Maximum1.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:49.944639image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.27
Q10.61
median0.88
Q31.1
95-th percentile1.404
Maximum1.9
Range1.78
Interquartile range (IQR)0.49

Descriptive statistics

Standard deviation0.34376014
Coefficient of variation (CV)0.40064778
Kurtosis-0.27730966
Mean0.85801085
Median Absolute Deviation (MAD)0.24
Skewness0.0311108
Sum474.48
Variance0.11817104
MonotonicityNot monotonic
2024-09-19T17:37:50.110212image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.94 12
 
1.1%
0.95 11
 
1.0%
0.34 11
 
1.0%
0.73 10
 
0.9%
1.08 10
 
0.9%
1.15 9
 
0.9%
0.99 9
 
0.9%
0.86 9
 
0.9%
0.85 8
 
0.8%
1.03 8
 
0.8%
Other values (128) 456
43.3%
(Missing) 500
47.5%
ValueCountFrequency (%)
0.12 1
 
0.1%
0.14 2
 
0.2%
0.15 1
 
0.1%
0.16 2
 
0.2%
0.17 2
 
0.2%
0.18 2
 
0.2%
0.21 2
 
0.2%
0.22 1
 
0.1%
0.23 5
0.5%
0.24 2
 
0.2%
ValueCountFrequency (%)
1.9 1
0.1%
1.89 1
0.1%
1.86 2
0.2%
1.76 1
0.1%
1.72 2
0.2%
1.57 1
0.1%
1.55 1
0.1%
1.54 2
0.2%
1.53 1
0.1%
1.52 1
0.1%

st_rad
Real number (ℝ)

MISSING 

Distinct177
Distinct (%)32.2%
Missing503
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.95630909
Minimum0.01
Maximum4.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:50.261212image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.3
Q10.6025
median0.86
Q31.19
95-th percentile1.9065
Maximum4.1
Range4.09
Interquartile range (IQR)0.5875

Descriptive statistics

Standard deviation0.54228587
Coefficient of variation (CV)0.56706129
Kurtosis4.7962773
Mean0.95630909
Median Absolute Deviation (MAD)0.28
Skewness1.6549551
Sum525.97
Variance0.29407397
MonotonicityNot monotonic
2024-09-19T17:37:50.425166image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.96 10
 
0.9%
0.79 10
 
0.9%
0.97 9
 
0.9%
0.65 9
 
0.9%
0.71 9
 
0.9%
0.86 9
 
0.9%
0.67 9
 
0.9%
0.85 8
 
0.8%
0.83 8
 
0.8%
0.84 8
 
0.8%
Other values (167) 461
43.8%
(Missing) 503
47.8%
ValueCountFrequency (%)
0.01 1
 
0.1%
0.16 1
 
0.1%
0.18 2
 
0.2%
0.19 2
 
0.2%
0.2 1
 
0.1%
0.21 2
 
0.2%
0.23 3
0.3%
0.24 5
0.5%
0.25 1
 
0.1%
0.26 2
 
0.2%
ValueCountFrequency (%)
4.1 1
0.1%
3.55 1
0.1%
3.52 1
0.1%
3.22 1
0.1%
3.13 1
0.1%
2.94 1
0.1%
2.9 1
0.1%
2.75 1
0.1%
2.74 1
0.1%
2.59 1
0.1%

sy_dist
Real number (ℝ)

MISSING 

Distinct448
Distinct (%)81.3%
Missing502
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean141.59975
Minimum6.86929
Maximum942.122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:51.477566image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum6.86929
5-th percentile20.0317
Q145.7735
median86.3501
Q3179.023
95-th percentile416.25
Maximum942.122
Range935.25271
Interquartile range (IQR)133.2495

Descriptive statistics

Standard deviation139.29178
Coefficient of variation (CV)0.98370078
Kurtosis4.1679919
Mean141.59975
Median Absolute Deviation (MAD)53.2609
Skewness1.879969
Sum78021.462
Variance19402.201
MonotonicityNot monotonic
2024-09-19T17:37:51.645319image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.5362 6
 
0.6%
62.699 5
 
0.5%
39.0341 5
 
0.5%
31.1265 4
 
0.4%
169.422 4
 
0.4%
64.5978 4
 
0.4%
85.799 4
 
0.4%
177.504 3
 
0.3%
22.4793 3
 
0.3%
99.5561 3
 
0.3%
Other values (438) 510
48.4%
(Missing) 502
47.7%
ValueCountFrequency (%)
6.86929 2
0.2%
9.41263 1
 
0.1%
9.44181 1
 
0.1%
9.7221 2
0.2%
10.0055 2
0.2%
10.6194 3
0.3%
12.0445 1
 
0.1%
12.21 1
 
0.1%
12.4814 1
 
0.1%
14.0022 1
 
0.1%
ValueCountFrequency (%)
942.122 1
0.1%
788.317 1
0.1%
717.128 1
0.1%
645.158 1
0.1%
629.161 1
0.1%
609.388 1
0.1%
604.591 1
0.1%
603.119 1
0.1%
589.423 1
0.1%
566.189 1
0.1%

sy_vmag
Real number (ℝ)

MISSING 

Distinct427
Distinct (%)77.4%
Missing501
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean11.365204
Minimum5.65
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:51.794345image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum5.65
5-th percentile8.270001
Q19.84225
median11.215
Q312.52725
95-th percentile15.6615
Maximum18
Range12.35
Interquartile range (IQR)2.685

Descriptive statistics

Standard deviation2.1130754
Coefficient of variation (CV)0.18592498
Kurtosis0.33590771
Mean11.365204
Median Absolute Deviation (MAD)1.349
Skewness0.49903116
Sum6273.5929
Variance4.4650877
MonotonicityNot monotonic
2024-09-19T17:37:51.979286image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.534 6
 
0.6%
11.955 5
 
0.5%
9.73 5
 
0.5%
11.632 4
 
0.4%
13.151 4
 
0.4%
12.6 4
 
0.4%
9.25 4
 
0.4%
10.252 4
 
0.4%
9.42 3
 
0.3%
10.939 3
 
0.3%
Other values (417) 510
48.4%
(Missing) 501
47.6%
ValueCountFrequency (%)
5.65 1
 
0.1%
6.38 3
0.3%
6.91134 2
0.2%
6.92035 3
0.3%
7.22142 1
 
0.1%
7.28 1
 
0.1%
7.51 1
 
0.1%
7.57 1
 
0.1%
7.79 1
 
0.1%
7.87 1
 
0.1%
ValueCountFrequency (%)
18 1
0.1%
17.35 1
0.1%
17.244 1
0.1%
17.12 1
0.1%
16.999 1
0.1%
16.91 2
0.2%
16.854 1
0.1%
16.82 1
0.1%
16.74 1
0.1%
16.683 1
0.1%

rastr
Text

MISSING 

Distinct450
Distinct (%)81.4%
Missing500
Missing (%)47.5%
Memory size16.5 KiB
2024-09-19T17:37:52.241077image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters6636
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)68.9%

Sample

1st row20h45m09.87s
2nd row20h45m09.87s
3rd row10h14m40.72s
4th row23h39m39.71s
5th row20h27m42.88s
ValueCountFrequency (%)
12h48m44.38s 6
 
1.1%
00h29m12.48s 5
 
0.9%
03h41m50.17s 5
 
0.9%
09h52m44.44s 4
 
0.7%
12h26m17.78s 4
 
0.7%
06h28m22.97s 4
 
0.7%
16h44m27.81s 4
 
0.7%
02h51m56.39s 3
 
0.5%
10h40m15.80s 3
 
0.5%
04h11m51.93s 3
 
0.5%
Other values (440) 512
92.6%
2024-09-19T17:37:52.644013image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 746
11.2%
1 690
10.4%
h 553
8.3%
m 553
8.3%
. 553
8.3%
s 553
8.3%
2 532
8.0%
4 473
7.1%
3 445
 
6.7%
5 407
 
6.1%
Other values (4) 1131
17.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6636
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 746
11.2%
1 690
10.4%
h 553
8.3%
m 553
8.3%
. 553
8.3%
s 553
8.3%
2 532
8.0%
4 473
7.1%
3 445
 
6.7%
5 407
 
6.1%
Other values (4) 1131
17.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6636
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 746
11.2%
1 690
10.4%
h 553
8.3%
m 553
8.3%
. 553
8.3%
s 553
8.3%
2 532
8.0%
4 473
7.1%
3 445
 
6.7%
5 407
 
6.1%
Other values (4) 1131
17.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6636
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 746
11.2%
1 690
10.4%
h 553
8.3%
m 553
8.3%
. 553
8.3%
s 553
8.3%
2 532
8.0%
4 473
7.1%
3 445
 
6.7%
5 407
 
6.1%
Other values (4) 1131
17.0%

decstr
Text

MISSING 

Distinct450
Distinct (%)81.4%
Missing500
Missing (%)47.5%
Memory size16.5 KiB
2024-09-19T17:37:52.918376image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters7189
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)68.9%

Sample

1st row-31d20m32.82s
2nd row-31d20m32.82s
3rd row-15d38m34.21s
4th row-69d11m45.75s
5th row-56d27m44.23s
ValueCountFrequency (%)
64d51m18.99s 6
 
1.1%
30d27m14.82s 5
 
0.9%
62d46m02.16s 5
 
0.9%
06d12m57.97s 4
 
0.7%
51d21m46.99s 4
 
0.7%
65d34m43.01s 4
 
0.7%
70d25m47.97s 4
 
0.7%
30d48m50.62s 3
 
0.5%
08d30m39.90s 3
 
0.5%
37d56m23.03s 3
 
0.5%
Other values (440) 512
92.6%
2024-09-19T17:37:53.338946image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 574
 
8.0%
d 553
 
7.7%
m 553
 
7.7%
. 553
 
7.7%
s 553
 
7.7%
3 549
 
7.6%
2 532
 
7.4%
4 522
 
7.3%
5 478
 
6.6%
0 463
 
6.4%
Other values (6) 1859
25.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7189
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 574
 
8.0%
d 553
 
7.7%
m 553
 
7.7%
. 553
 
7.7%
s 553
 
7.7%
3 549
 
7.6%
2 532
 
7.4%
4 522
 
7.3%
5 478
 
6.6%
0 463
 
6.4%
Other values (6) 1859
25.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7189
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 574
 
8.0%
d 553
 
7.7%
m 553
 
7.7%
. 553
 
7.7%
s 553
 
7.7%
3 549
 
7.6%
2 532
 
7.4%
4 522
 
7.3%
5 478
 
6.6%
0 463
 
6.4%
Other values (6) 1859
25.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7189
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 574
 
8.0%
d 553
 
7.7%
m 553
 
7.7%
. 553
 
7.7%
s 553
 
7.7%
3 549
 
7.6%
2 532
 
7.4%
4 522
 
7.3%
5 478
 
6.6%
0 463
 
6.4%
Other values (6) 1859
25.9%

Category
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Exoplanet
553 
Star
500 

Length

Max length9
Median length9
Mean length6.625831
Min length4

Characters and Unicode

Total characters6977
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowExoplanet
2nd rowExoplanet
3rd rowExoplanet
4th rowExoplanet
5th rowExoplanet

Common Values

ValueCountFrequency (%)
Exoplanet 553
52.5%
Star 500
47.5%

Length

2024-09-19T17:37:53.494549image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:37:53.610079image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
exoplanet 553
52.5%
star 500
47.5%

Most occurring characters

ValueCountFrequency (%)
a 1053
15.1%
t 1053
15.1%
E 553
7.9%
x 553
7.9%
o 553
7.9%
p 553
7.9%
l 553
7.9%
n 553
7.9%
e 553
7.9%
S 500
7.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6977
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 1053
15.1%
t 1053
15.1%
E 553
7.9%
x 553
7.9%
o 553
7.9%
p 553
7.9%
l 553
7.9%
n 553
7.9%
e 553
7.9%
S 500
7.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6977
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 1053
15.1%
t 1053
15.1%
E 553
7.9%
x 553
7.9%
o 553
7.9%
p 553
7.9%
l 553
7.9%
n 553
7.9%
e 553
7.9%
S 500
7.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6977
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 1053
15.1%
t 1053
15.1%
E 553
7.9%
x 553
7.9%
o 553
7.9%
p 553
7.9%
l 553
7.9%
n 553
7.9%
e 553
7.9%
S 500
7.2%

solution_id
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing553
Missing (%)52.5%
Memory size16.5 KiB
1.6361480689213768e+18
500 

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11000
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.6361480689213768e+18
2nd row1.6361480689213768e+18
3rd row1.6361480689213768e+18
4th row1.6361480689213768e+18
5th row1.6361480689213768e+18

Common Values

ValueCountFrequency (%)
1.6361480689213768e+18 500
47.5%
(Missing) 553
52.5%

Length

2024-09-19T17:37:53.740785image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:37:53.842974image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
1.6361480689213768e+18 500
100.0%

Most occurring characters

ValueCountFrequency (%)
1 2000
18.2%
6 2000
18.2%
8 2000
18.2%
3 1000
9.1%
. 500
 
4.5%
4 500
 
4.5%
0 500
 
4.5%
9 500
 
4.5%
2 500
 
4.5%
7 500
 
4.5%
Other values (2) 1000
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2000
18.2%
6 2000
18.2%
8 2000
18.2%
3 1000
9.1%
. 500
 
4.5%
4 500
 
4.5%
0 500
 
4.5%
9 500
 
4.5%
2 500
 
4.5%
7 500
 
4.5%
Other values (2) 1000
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2000
18.2%
6 2000
18.2%
8 2000
18.2%
3 1000
9.1%
. 500
 
4.5%
4 500
 
4.5%
0 500
 
4.5%
9 500
 
4.5%
2 500
 
4.5%
7 500
 
4.5%
Other values (2) 1000
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2000
18.2%
6 2000
18.2%
8 2000
18.2%
3 1000
9.1%
. 500
 
4.5%
4 500
 
4.5%
0 500
 
4.5%
9 500
 
4.5%
2 500
 
4.5%
7 500
 
4.5%
Other values (2) 1000
9.1%

designation
Text

MISSING 

Distinct500
Distinct (%)100.0%
Missing553
Missing (%)52.5%
Memory size16.5 KiB
2024-09-19T17:37:54.059519image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters14000
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)100.0%

Sample

1st rowGaia DR3 2377258217878762752
2nd rowGaia DR3 2377205986781022976
3rd rowGaia DR3 2363177180483481728
4th rowGaia DR3 2362820388960168576
5th rowGaia DR3 2362936627955066368
ValueCountFrequency (%)
gaia 500
33.3%
dr3 500
33.3%
2425805843837601536 1
 
0.1%
2425809318466826240 1
 
0.1%
2377205986781022976 1
 
0.1%
2363177180483481728 1
 
0.1%
2362820388960168576 1
 
0.1%
2362936627955066368 1
 
0.1%
2374392306460644992 1
 
0.1%
2370502234322225536 1
 
0.1%
Other values (492) 492
32.8%
2024-09-19T17:37:54.425190image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1733
12.4%
2 1419
10.1%
7 1144
 
8.2%
a 1000
 
7.1%
1000
 
7.1%
0 943
 
6.7%
6 896
 
6.4%
4 894
 
6.4%
8 868
 
6.2%
1 723
 
5.2%
Other values (6) 3380
24.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 1733
12.4%
2 1419
10.1%
7 1144
 
8.2%
a 1000
 
7.1%
1000
 
7.1%
0 943
 
6.7%
6 896
 
6.4%
4 894
 
6.4%
8 868
 
6.2%
1 723
 
5.2%
Other values (6) 3380
24.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 1733
12.4%
2 1419
10.1%
7 1144
 
8.2%
a 1000
 
7.1%
1000
 
7.1%
0 943
 
6.7%
6 896
 
6.4%
4 894
 
6.4%
8 868
 
6.2%
1 723
 
5.2%
Other values (6) 3380
24.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 1733
12.4%
2 1419
10.1%
7 1144
 
8.2%
a 1000
 
7.1%
1000
 
7.1%
0 943
 
6.7%
6 896
 
6.4%
4 894
 
6.4%
8 868
 
6.2%
1 723
 
5.2%
Other values (6) 3380
24.1%

source_id
Real number (ℝ)

MISSING 

Distinct491
Distinct (%)98.2%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean2.3748372 × 1018
Minimum2.3627625 × 1018
Maximum2.4258129 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:54.576848image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum2.3627625 × 1018
5-th percentile2.3629318 × 1018
Q12.3700367 × 1018
median2.3739758 × 1018
Q32.3768896 × 1018
95-th percentile2.4257619 × 1018
Maximum2.4258129 × 1018
Range6.3050395 × 1016
Interquartile range (IQR)6.8528855 × 1015

Descriptive statistics

Standard deviation1.3500742 × 1016
Coefficient of variation (CV)0.0056849124
Kurtosis9.0210504
Mean2.3748372 × 1018
Median Absolute Deviation (MAD)3.4162556 × 1015
Skewness3.013938
Sum1.1874186 × 1021
Variance1.8227002 × 1032
MonotonicityNot monotonic
2024-09-19T17:37:54.741889image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.370254668 × 10182
 
0.2%
2.369264111 × 10182
 
0.2%
2.370140323 × 10182
 
0.2%
2.3692714 × 10182
 
0.2%
2.369264768 × 10182
 
0.2%
2.374082622 × 10182
 
0.2%
2.377319138 × 10182
 
0.2%
2.369264558 × 10182
 
0.2%
2.370502131 × 10182
 
0.2%
2.362936323 × 10181
 
0.1%
Other values (481) 481
45.7%
(Missing) 553
52.5%
ValueCountFrequency (%)
2.362762458 × 10181
0.1%
2.362809428 × 10181
0.1%
2.362809428 × 10181
0.1%
2.362815682 × 10181
0.1%
2.362816545 × 10181
0.1%
2.362817022 × 10181
0.1%
2.362817022 × 10181
0.1%
2.362817267 × 10181
0.1%
2.362820389 × 10181
0.1%
2.362820423 × 10181
0.1%
ValueCountFrequency (%)
2.425812853 × 10181
0.1%
2.42581275 × 10181
0.1%
2.425811208 × 10181
0.1%
2.425811204 × 10181
0.1%
2.425811101 × 10181
0.1%
2.425811032 × 10181
0.1%
2.425810826 × 10181
0.1%
2.425810727 × 10181
0.1%
2.425810723 × 10181
0.1%
2.425809318 × 10181
0.1%

ra
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)100.0%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean10.008589
Minimum10.000004
Maximum10.017284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:54.914945image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum10.000004
5-th percentile10.001038
Q110.004477
median10.0087
Q310.012674
95-th percentile10.016302
Maximum10.017284
Range0.017280358
Interquartile range (IQR)0.008196914

Descriptive statistics

Standard deviation0.0048301051
Coefficient of variation (CV)0.00048259603
Kurtosis-1.124499
Mean10.008589
Median Absolute Deviation (MAD)0.004057812
Skewness0.060023733
Sum5004.2943
Variance2.3329916 × 10-5
MonotonicityStrictly increasing
2024-09-19T17:37:55.082808image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.01102607 1
 
0.1%
10.01138658 1
 
0.1%
10.01135822 1
 
0.1%
10.01132641 1
 
0.1%
10.01129026 1
 
0.1%
10.01128509 1
 
0.1%
10.01115653 1
 
0.1%
10.01115068 1
 
0.1%
10.01115058 1
 
0.1%
10.01112832 1
 
0.1%
Other values (490) 490
46.5%
(Missing) 553
52.5%
ValueCountFrequency (%)
10.00000383 1
0.1%
10.00007019 1
0.1%
10.00008134 1
0.1%
10.00009492 1
0.1%
10.00014708 1
0.1%
10.00019806 1
0.1%
10.00021198 1
0.1%
10.00030734 1
0.1%
10.0003375 1
0.1%
10.00042254 1
0.1%
ValueCountFrequency (%)
10.01728418 1
0.1%
10.01727106 1
0.1%
10.01722909 1
0.1%
10.01721874 1
0.1%
10.01720406 1
0.1%
10.01711663 1
0.1%
10.01710162 1
0.1%
10.0169949 1
0.1%
10.01697069 1
0.1%
10.01695612 1
0.1%

dec
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)100.0%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean-15.159574
Minimum-19.96795
Maximum-10.065729
Zeros0
Zeros (%)0.0%
Negative500
Negative (%)47.5%
Memory size16.5 KiB
2024-09-19T17:37:55.280353image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-19.96795
5-th percentile-19.494596
Q1-17.770341
median-15.357595
Q3-12.432028
95-th percentile-10.553995
Maximum-10.065729
Range9.9022212
Interquartile range (IQR)5.3383128

Descriptive statistics

Standard deviation2.9333528
Coefficient of variation (CV)-0.19349837
Kurtosis-1.2488392
Mean-15.159574
Median Absolute Deviation (MAD)2.6490308
Skewness0.10031813
Sum-7579.7869
Variance8.6045587
MonotonicityNot monotonic
2024-09-19T17:37:55.472093image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.93855993 1
 
0.1%
-19.11515576 1
 
0.1%
-11.05633604 1
 
0.1%
-16.42541502 1
 
0.1%
-14.869284 1
 
0.1%
-10.2422277 1
 
0.1%
-14.62076237 1
 
0.1%
-12.61954328 1
 
0.1%
-11.47944286 1
 
0.1%
-12.24449418 1
 
0.1%
Other values (490) 490
46.5%
(Missing) 553
52.5%
ValueCountFrequency (%)
-19.96795004 1
0.1%
-19.95327663 1
0.1%
-19.94363553 1
0.1%
-19.89115929 1
0.1%
-19.88025467 1
0.1%
-19.84912216 1
0.1%
-19.84791346 1
0.1%
-19.83189942 1
0.1%
-19.80328551 1
0.1%
-19.78982661 1
0.1%
ValueCountFrequency (%)
-10.06572886 1
0.1%
-10.07412051 1
0.1%
-10.14457012 1
0.1%
-10.15205612 1
0.1%
-10.1564648 1
0.1%
-10.16044149 1
0.1%
-10.17474828 1
0.1%
-10.18768222 1
0.1%
-10.19074977 1
0.1%
-10.19114856 1
0.1%

parallax
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean0.98021938
Minimum-5.1297796
Maximum6.168216
Zeros0
Zeros (%)0.0%
Negative63
Negative (%)6.0%
Memory size16.5 KiB
2024-09-19T17:37:55.630013image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-5.1297796
5-th percentile-0.8874602
Q10.21489755
median0.80185831
Q31.6828284
95-th percentile3.2277389
Maximum6.168216
Range11.297996
Interquartile range (IQR)1.4679308

Descriptive statistics

Standard deviation1.2786366
Coefficient of variation (CV)1.3044392
Kurtosis2.6113139
Mean0.98021938
Median Absolute Deviation (MAD)0.6744478
Skewness0.38507882
Sum375.42402
Variance1.6349116
MonotonicityNot monotonic
2024-09-19T17:37:55.809268image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6802775601 1
 
0.1%
1.716861816 1
 
0.1%
0.1494712578 1
 
0.1%
0.9314847523 1
 
0.1%
0.0976705588 1
 
0.1%
1.539586491 1
 
0.1%
-5.129779611 1
 
0.1%
-0.4627157581 1
 
0.1%
0.752978048 1
 
0.1%
3.228737579 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
-5.129779611 1
0.1%
-3.512980529 1
0.1%
-1.877762814 1
0.1%
-1.796001789 1
0.1%
-1.786501661 1
0.1%
-1.494631679 1
0.1%
-1.386190735 1
0.1%
-1.322012109 1
0.1%
-1.23157348 1
0.1%
-1.154495827 1
0.1%
ValueCountFrequency (%)
6.168216006 1
0.1%
6.058846901 1
0.1%
4.748306984 1
0.1%
4.584319433 1
0.1%
4.469506678 1
0.1%
4.461928095 1
0.1%
4.438867426 1
0.1%
3.992687781 1
0.1%
3.963330311 1
0.1%
3.868190244 1
0.1%

pmra
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean7.1437917
Minimum-21.556892
Maximum110.967
Zeros0
Zeros (%)0.0%
Negative113
Negative (%)10.7%
Memory size16.5 KiB
2024-09-19T17:37:55.958720image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-21.556892
5-th percentile-6.1236122
Q1-0.96125647
median3.9832902
Q310.138556
95-th percentile34.854765
Maximum110.967
Range132.52389
Interquartile range (IQR)11.099812

Descriptive statistics

Standard deviation13.821049
Coefficient of variation (CV)1.9346937
Kurtosis11.644126
Mean7.1437917
Median Absolute Deviation (MAD)5.1824387
Skewness2.5498258
Sum2736.0722
Variance191.02139
MonotonicityNot monotonic
2024-09-19T17:37:56.164492image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.97559218 1
 
0.1%
21.07392814 1
 
0.1%
-1.062408993 1
 
0.1%
21.81895617 1
 
0.1%
-0.6032577836 1
 
0.1%
-17.33044758 1
 
0.1%
-1.328382234 1
 
0.1%
-0.7387806046 1
 
0.1%
8.906603659 1
 
0.1%
39.34546113 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
-21.55689163 1
0.1%
-20.85790157 1
0.1%
-18.62839537 1
0.1%
-17.33044758 1
0.1%
-15.19760632 1
0.1%
-15.11916393 1
0.1%
-13.40090354 1
0.1%
-12.71264212 1
0.1%
-11.81685671 1
0.1%
-11.7764866 1
0.1%
ValueCountFrequency (%)
110.9670012 1
0.1%
75.37527456 1
0.1%
62.5114234 1
0.1%
62.37634315 1
0.1%
62.29601776 1
0.1%
61.96507145 1
0.1%
52.92672746 1
0.1%
45.8436439 1
0.1%
41.77975695 1
0.1%
41.58089464 1
0.1%

pmdec
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean-7.6706704
Minimum-69.845549
Maximum46.00652
Zeros0
Zeros (%)0.0%
Negative328
Negative (%)31.1%
Memory size16.5 KiB
2024-09-19T17:37:56.391615image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-69.845549
5-th percentile-24.407706
Q1-11.938014
median-5.6028605
Q3-2.2414538
95-th percentile6.3768847
Maximum46.00652
Range115.85207
Interquartile range (IQR)9.6965606

Descriptive statistics

Standard deviation11.169579
Coefficient of variation (CV)-1.4561412
Kurtosis8.3286816
Mean-7.6706704
Median Absolute Deviation (MAD)4.101917
Skewness-1.4886779
Sum-2937.8668
Variance124.7595
MonotonicityNot monotonic
2024-09-19T17:37:56.543068image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15.00545154 1
 
0.1%
-21.71660223 1
 
0.1%
-3.034443093 1
 
0.1%
-20.09964119 1
 
0.1%
-0.3941054436 1
 
0.1%
-9.701441284 1
 
0.1%
8.3978292 1
 
0.1%
-2.116815012 1
 
0.1%
-8.770033908 1
 
0.1%
-12.59037612 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
-69.84554912 1
0.1%
-64.18499715 1
0.1%
-63.26798686 1
0.1%
-57.77204604 1
0.1%
-52.30198363 1
0.1%
-42.6230633 1
0.1%
-40.42348807 1
0.1%
-39.08649676 1
0.1%
-38.22216162 1
0.1%
-35.66448517 1
0.1%
ValueCountFrequency (%)
46.00652047 1
0.1%
31.34913972 1
0.1%
14.43446853 1
0.1%
14.00421538 1
0.1%
13.07746657 1
0.1%
12.78190196 1
0.1%
12.76324875 1
0.1%
9.849684062 1
0.1%
9.411752912 1
0.1%
9.034869907 1
0.1%

ra_error
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)100.0%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean3.0384305
Minimum0.01237465
Maximum97.36594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:56.710366image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.01237465
5-th percentile0.030893166
Q10.14391883
median0.4058122
Q31.2647756
95-th percentile17.05179
Maximum97.36594
Range97.353565
Interquartile range (IQR)1.1208568

Descriptive statistics

Standard deviation9.2680736
Coefficient of variation (CV)3.0502832
Kurtosis46.732601
Mean3.0384305
Median Absolute Deviation (MAD)0.32798012
Skewness6.1640147
Sum1519.2153
Variance85.897189
MonotonicityNot monotonic
2024-09-19T17:37:56.859731image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2645376 1
 
0.1%
2.1616473 1
 
0.1%
2.990079 1
 
0.1%
0.45161456 1
 
0.1%
0.05774982 1
 
0.1%
0.11805256 1
 
0.1%
0.08816594 1
 
0.1%
0.15540488 1
 
0.1%
0.112776734 1
 
0.1%
0.2713992 1
 
0.1%
Other values (490) 490
46.5%
(Missing) 553
52.5%
ValueCountFrequency (%)
0.01237465 1
0.1%
0.013602029 1
0.1%
0.013619392 1
0.1%
0.013904442 1
0.1%
0.01452818 1
0.1%
0.01595034 1
0.1%
0.017281428 1
0.1%
0.017700098 1
0.1%
0.018150756 1
0.1%
0.018266877 1
0.1%
ValueCountFrequency (%)
97.36594 1
0.1%
80.96173 1
0.1%
80.72266 1
0.1%
60.923595 1
0.1%
53.579865 1
0.1%
48.93557 1
0.1%
37.44346 1
0.1%
35.07599 1
0.1%
33.295315 1
0.1%
33.237167 1
0.1%

dec_error
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)100.0%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean1.2540169
Minimum0.007476295
Maximum24.479734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:56.996270image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.007476295
5-th percentile0.020194263
Q10.10458632
median0.29313619
Q30.86069749
95-th percentile6.2132386
Maximum24.479734
Range24.472258
Interquartile range (IQR)0.75611116

Descriptive statistics

Standard deviation2.8738608
Coefficient of variation (CV)2.2917241
Kurtosis28.562992
Mean1.2540169
Median Absolute Deviation (MAD)0.23408499
Skewness4.8131533
Sum627.00846
Variance8.2590757
MonotonicityNot monotonic
2024-09-19T17:37:57.159362image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4251131 1
 
0.1%
0.8224698 1
 
0.1%
2.3218346 1
 
0.1%
0.23934701 1
 
0.1%
0.035653558 1
 
0.1%
0.111926824 1
 
0.1%
0.0682292 1
 
0.1%
0.16193359 1
 
0.1%
0.115726985 1
 
0.1%
0.34585226 1
 
0.1%
Other values (490) 490
46.5%
(Missing) 553
52.5%
ValueCountFrequency (%)
0.007476295 1
0.1%
0.008427757 1
0.1%
0.0086259125 1
0.1%
0.010733313 1
0.1%
0.010737533 1
0.1%
0.011536583 1
0.1%
0.012384502 1
0.1%
0.012994406 1
0.1%
0.013209734 1
0.1%
0.013311519 1
0.1%
ValueCountFrequency (%)
24.479734 1
0.1%
23.488953 1
0.1%
21.42668 1
0.1%
20.621391 1
0.1%
18.365088 1
0.1%
16.536802 1
0.1%
13.970325 1
0.1%
11.256564 1
0.1%
10.621283 1
0.1%
9.369788 1
0.1%

parallax_error
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean0.47798743
Minimum0.015650304
Maximum2.5170293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:57.313015image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.015650304
5-th percentile0.0277172
Q10.12382301
median0.32809225
Q30.66490903
95-th percentile1.4623217
Maximum2.5170293
Range2.501379
Interquartile range (IQR)0.54108602

Descriptive statistics

Standard deviation0.46178652
Coefficient of variation (CV)0.96610599
Kurtosis2.6195552
Mean0.47798743
Median Absolute Deviation (MAD)0.24799465
Skewness1.5636369
Sum183.06919
Variance0.21324679
MonotonicityNot monotonic
2024-09-19T17:37:57.491545image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.045210343 1
 
0.1%
0.20614477 1
 
0.1%
0.14098501 1
 
0.1%
0.370239 1
 
0.1%
1.5194763 1
 
0.1%
0.25871968 1
 
0.1%
2.5170293 1
 
0.1%
0.27676362 1
 
0.1%
0.29237744 1
 
0.1%
0.038528115 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
0.015650304 1
0.1%
0.016556937 1
0.1%
0.016919719 1
0.1%
0.017083235 1
0.1%
0.017481245 1
0.1%
0.02071383 1
0.1%
0.021130832 1
0.1%
0.021688053 1
0.1%
0.021834258 1
0.1%
0.02249611 1
0.1%
ValueCountFrequency (%)
2.5170293 1
0.1%
2.3445253 1
0.1%
2.1703312 1
0.1%
2.1612206 1
0.1%
1.9918094 1
0.1%
1.974052 1
0.1%
1.9033991 1
0.1%
1.8659543 1
0.1%
1.8082784 1
0.1%
1.7592546 1
0.1%

pmra_error
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean0.52446971
Minimum0.017203135
Maximum2.6493545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:57.675837image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.017203135
5-th percentile0.031633742
Q10.13891282
median0.37570158
Q30.76717607
95-th percentile1.5649696
Maximum2.6493545
Range2.6321514
Interquartile range (IQR)0.62826325

Descriptive statistics

Standard deviation0.49261224
Coefficient of variation (CV)0.93925775
Kurtosis2.1103746
Mean0.52446971
Median Absolute Deviation (MAD)0.27515104
Skewness1.4403167
Sum200.8719
Variance0.24266682
MonotonicityNot monotonic
2024-09-19T17:37:57.858260image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.049540434 1
 
0.1%
0.2089704 1
 
0.1%
0.15571322 1
 
0.1%
0.42463833 1
 
0.1%
1.4157108 1
 
0.1%
0.28376946 1
 
0.1%
2.4501498 1
 
0.1%
0.28896448 1
 
0.1%
0.3455754 1
 
0.1%
0.044589166 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
0.017203135 1
0.1%
0.017555596 1
0.1%
0.018324511 1
0.1%
0.021098502 1
0.1%
0.022302166 1
0.1%
0.023176417 1
0.1%
0.024789248 1
0.1%
0.025009355 1
0.1%
0.02517289 1
0.1%
0.026424346 1
0.1%
ValueCountFrequency (%)
2.6493545 1
0.1%
2.455128 1
0.1%
2.4501498 1
0.1%
2.166037 1
0.1%
2.0686457 1
0.1%
1.9817643 1
0.1%
1.9589279 1
0.1%
1.9530714 1
0.1%
1.8667184 1
0.1%
1.773519 1
0.1%

pmdec_error
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)100.0%
Missing670
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean0.52946004
Minimum0.018300164
Maximum3.047856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:58.027515image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.018300164
5-th percentile0.03090067
Q10.1398873
median0.36823997
Q30.7822595
95-th percentile1.4898475
Maximum3.047856
Range3.0295558
Interquartile range (IQR)0.64237219

Descriptive statistics

Standard deviation0.49043415
Coefficient of variation (CV)0.92629116
Kurtosis1.9695346
Mean0.52946004
Median Absolute Deviation (MAD)0.26460277
Skewness1.3537907
Sum202.7832
Variance0.24052566
MonotonicityNot monotonic
2024-09-19T17:37:58.192589image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.050023094 1
 
0.1%
0.25698316 1
 
0.1%
0.17649469 1
 
0.1%
0.564885 1
 
0.1%
1.349273 1
 
0.1%
0.30946088 1
 
0.1%
1.9879717 1
 
0.1%
0.3618935 1
 
0.1%
0.3258164 1
 
0.1%
0.04723284 1
 
0.1%
Other values (373) 373
35.4%
(Missing) 670
63.6%
ValueCountFrequency (%)
0.018300164 1
0.1%
0.018765926 1
0.1%
0.01956463 1
0.1%
0.0196211 1
0.1%
0.01977599 1
0.1%
0.020857243 1
0.1%
0.024451766 1
0.1%
0.024644747 1
0.1%
0.024815174 1
0.1%
0.026737195 1
0.1%
ValueCountFrequency (%)
3.047856 1
0.1%
2.2568097 1
0.1%
2.001278 1
0.1%
1.9879717 1
0.1%
1.8658886 1
0.1%
1.8389287 1
0.1%
1.8026608 1
0.1%
1.800339 1
0.1%
1.7528784 1
0.1%
1.7147182 1
0.1%

astrometric_n_obs_al
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)53.8%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean234.794
Minimum40
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:58.362114image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile61
Q1165.75
median234
Q3312.5
95-th percentile385.05
Maximum440
Range400
Interquartile range (IQR)146.75

Descriptive statistics

Standard deviation97.844461
Coefficient of variation (CV)0.41672471
Kurtosis-0.74655187
Mean234.794
Median Absolute Deviation (MAD)71
Skewness-0.1293895
Sum117397
Variance9573.5386
MonotonicityNot monotonic
2024-09-19T17:37:58.525670image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 7
 
0.7%
228 6
 
0.6%
237 5
 
0.5%
330 5
 
0.5%
236 5
 
0.5%
227 4
 
0.4%
359 4
 
0.4%
334 4
 
0.4%
102 4
 
0.4%
234 4
 
0.4%
Other values (259) 452
42.9%
(Missing) 553
52.5%
ValueCountFrequency (%)
40 1
 
0.1%
42 3
0.3%
43 1
 
0.1%
44 1
 
0.1%
46 1
 
0.1%
47 1
 
0.1%
48 1
 
0.1%
49 2
0.2%
50 1
 
0.1%
51 3
0.3%
ValueCountFrequency (%)
440 1
0.1%
436 1
0.1%
435 1
0.1%
429 1
0.1%
427 2
0.2%
426 1
0.1%
417 2
0.2%
415 1
0.1%
412 1
0.1%
410 1
0.1%

astrometric_n_good_obs_al
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)52.8%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean233.336
Minimum40
Maximum438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:58.676178image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile61
Q1165
median232.5
Q3310
95-th percentile384.05
Maximum438
Range398
Interquartile range (IQR)145

Descriptive statistics

Standard deviation97.455005
Coefficient of variation (CV)0.41765954
Kurtosis-0.75214763
Mean233.336
Median Absolute Deviation (MAD)72
Skewness-0.12848288
Sum116668
Variance9497.4781
MonotonicityNot monotonic
2024-09-19T17:37:58.842451image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288 7
 
0.7%
234 7
 
0.7%
228 7
 
0.7%
230 6
 
0.6%
251 5
 
0.5%
244 5
 
0.5%
239 5
 
0.5%
189 4
 
0.4%
223 4
 
0.4%
215 4
 
0.4%
Other values (254) 446
42.4%
(Missing) 553
52.5%
ValueCountFrequency (%)
40 1
 
0.1%
41 1
 
0.1%
42 3
0.3%
44 1
 
0.1%
46 1
 
0.1%
47 2
0.2%
48 2
0.2%
49 1
 
0.1%
50 3
0.3%
51 1
 
0.1%
ValueCountFrequency (%)
438 1
0.1%
434 1
0.1%
426 2
0.2%
425 1
0.1%
424 1
0.1%
423 1
0.1%
417 1
0.1%
414 2
0.2%
411 1
0.1%
406 1
0.1%

astrometric_n_bad_obs_al
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.6%
Missing553
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean1.458
Minimum0
Maximum14
Zeros173
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:58.959216image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.782861
Coefficient of variation (CV)1.2228127
Kurtosis9.8212766
Mean1.458
Median Absolute Deviation (MAD)1
Skewness2.4859211
Sum729
Variance3.1785932
MonotonicityNot monotonic
2024-09-19T17:37:59.075794image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 173
 
16.4%
1 139
 
13.2%
2 100
 
9.5%
3 37
 
3.5%
4 25
 
2.4%
5 10
 
0.9%
6 6
 
0.6%
7 3
 
0.3%
9 2
 
0.2%
11 2
 
0.2%
Other values (3) 3
 
0.3%
(Missing) 553
52.5%
ValueCountFrequency (%)
0 173
16.4%
1 139
13.2%
2 100
9.5%
3 37
 
3.5%
4 25
 
2.4%
5 10
 
0.9%
6 6
 
0.6%
7 3
 
0.3%
8 1
 
0.1%
9 2
 
0.2%
ValueCountFrequency (%)
14 1
 
0.1%
11 2
 
0.2%
10 1
 
0.1%
9 2
 
0.2%
8 1
 
0.1%
7 3
 
0.3%
6 6
 
0.6%
5 10
 
0.9%
4 25
2.4%
3 37
3.5%

phot_g_mean_mag
Real number (ℝ)

MISSING 

Distinct499
Distinct (%)100.0%
Missing554
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean19.187189
Minimum8.146728
Maximum22.00811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:59.225296image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum8.146728
5-th percentile14.907173
Q118.224286
median19.795294
Q320.661375
95-th percentile21.355638
Maximum22.00811
Range13.861382
Interquartile range (IQR)2.437089

Descriptive statistics

Standard deviation2.0531749
Coefficient of variation (CV)0.10700759
Kurtosis2.6726472
Mean19.187189
Median Absolute Deviation (MAD)1.048281
Skewness-1.4800854
Sum9574.4071
Variance4.2155272
MonotonicityNot monotonic
2024-09-19T17:37:59.376064image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.258568 1
 
0.1%
20.91832 1
 
0.1%
19.708935 1
 
0.1%
16.406364 1
 
0.1%
17.954666 1
 
0.1%
17.663439 1
 
0.1%
18.57374 1
 
0.1%
18.219252 1
 
0.1%
19.393593 1
 
0.1%
21.010536 1
 
0.1%
Other values (489) 489
46.4%
(Missing) 554
52.6%
ValueCountFrequency (%)
8.146728 1
0.1%
10.950368 1
0.1%
11.382326 1
0.1%
12.357016 1
0.1%
12.512007 1
0.1%
12.691703 1
0.1%
12.7409935 1
0.1%
13.213246 1
0.1%
13.383861 1
0.1%
13.717505 1
0.1%
ValueCountFrequency (%)
22.00811 1
0.1%
21.91075 1
0.1%
21.750748 1
0.1%
21.724222 1
0.1%
21.707592 1
0.1%
21.692427 1
0.1%
21.656767 1
0.1%
21.648577 1
0.1%
21.635555 1
0.1%
21.63239 1
0.1%

phot_bp_mean_mag
Real number (ℝ)

MISSING 

Distinct493
Distinct (%)100.0%
Missing560
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean19.571069
Minimum8.668833
Maximum22.159897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:59.525987image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum8.668833
5-th percentile15.341455
Q118.92855
median20.178444
Q320.89266
95-th percentile21.475558
Maximum22.159897
Range13.491064
Interquartile range (IQR)1.96411

Descriptive statistics

Standard deviation1.9397478
Coefficient of variation (CV)0.09911302
Kurtosis3.8893741
Mean19.571069
Median Absolute Deviation (MAD)0.808285
Skewness-1.7824533
Sum9648.5372
Variance3.7626215
MonotonicityNot monotonic
2024-09-19T17:37:59.692479image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.64788 1
 
0.1%
16.73219 1
 
0.1%
19.159588 1
 
0.1%
18.043924 1
 
0.1%
19.92671 1
 
0.1%
18.610977 1
 
0.1%
20.846594 1
 
0.1%
19.963396 1
 
0.1%
20.481285 1
 
0.1%
20.130005 1
 
0.1%
Other values (483) 483
45.9%
(Missing) 560
53.2%
ValueCountFrequency (%)
8.668833 1
0.1%
11.213302 1
0.1%
11.694197 1
0.1%
12.602207 1
0.1%
12.838908 1
0.1%
13.180953 1
0.1%
13.184612 1
0.1%
13.643908 1
0.1%
13.906564 1
0.1%
14.040379 1
0.1%
ValueCountFrequency (%)
22.159897 1
0.1%
22.130316 1
0.1%
22.128279 1
0.1%
22.07603 1
0.1%
21.860823 1
0.1%
21.852255 1
0.1%
21.750845 1
0.1%
21.723867 1
0.1%
21.699923 1
0.1%
21.650936 1
0.1%

phot_rp_mean_mag
Real number (ℝ)

MISSING 

Distinct495
Distinct (%)100.0%
Missing558
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean18.115991
Minimum7.46929
Maximum21.544151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:37:59.862482image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum7.46929
5-th percentile14.30432
Q117.367028
median18.535206
Q319.41469
95-th percentile20.220209
Maximum21.544151
Range14.074861
Interquartile range (IQR)2.047661

Descriptive statistics

Standard deviation1.8792068
Coefficient of variation (CV)0.10373194
Kurtosis3.1268392
Mean18.115991
Median Absolute Deviation (MAD)0.987526
Skewness-1.4680624
Sum8967.4156
Variance3.5314183
MonotonicityNot monotonic
2024-09-19T17:38:00.063249image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.771126 1
 
0.1%
18.422966 1
 
0.1%
18.479776 1
 
0.1%
15.921916 1
 
0.1%
16.866842 1
 
0.1%
17.136812 1
 
0.1%
17.446672 1
 
0.1%
17.52307 1
 
0.1%
18.188707 1
 
0.1%
18.285004 1
 
0.1%
Other values (485) 485
46.1%
(Missing) 558
53.0%
ValueCountFrequency (%)
7.46929 1
0.1%
10.528421 1
0.1%
10.904862 1
0.1%
11.96133 1
0.1%
12.025637 1
0.1%
12.046747 1
0.1%
12.1360445 1
0.1%
12.410095 1
0.1%
12.964455 1
0.1%
13.001858 1
0.1%
ValueCountFrequency (%)
21.544151 1
0.1%
21.206211 1
0.1%
21.166784 1
0.1%
21.039288 1
0.1%
20.875463 1
0.1%
20.873005 1
0.1%
20.692478 1
0.1%
20.582724 1
0.1%
20.535042 1
0.1%
20.498274 1
0.1%

radial_velocity
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1033
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean8.0452723
Minimum-24.447752
Maximum70.99803
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)0.8%
Memory size16.5 KiB
2024-09-19T17:38:00.225905image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-24.447752
5-th percentile-22.90518
Q1-9.5778
median4.9917612
Q325.27083
95-th percentile36.910172
Maximum70.99803
Range95.445782
Interquartile range (IQR)34.84863

Descriptive statistics

Standard deviation23.85586
Coefficient of variation (CV)2.9652023
Kurtosis0.91842511
Mean8.0452723
Median Absolute Deviation (MAD)16.96821
Skewness0.87824721
Sum160.90545
Variance569.10204
MonotonicityNot monotonic
2024-09-19T17:38:00.421422image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-15.1605835 1
 
0.1%
25.085247 1
 
0.1%
0.08441595 1
 
0.1%
-22.823992 1
 
0.1%
7.0421696 1
 
0.1%
18.437864 1
 
0.1%
-9.804372 1
 
0.1%
13.81963 1
 
0.1%
-9.502276 1
 
0.1%
30.99506 1
 
0.1%
Other values (10) 10
 
0.9%
(Missing) 1033
98.1%
ValueCountFrequency (%)
-24.447752 1
0.1%
-22.823992 1
0.1%
-15.1605835 1
0.1%
-14.148526 1
0.1%
-9.804372 1
0.1%
-9.502276 1
0.1%
-7.3775325 1
0.1%
-6.5672965 1
0.1%
0.08441595 1
0.1%
4.1315174 1
0.1%
ValueCountFrequency (%)
70.99803 1
0.1%
35.116074 1
0.1%
33.348186 1
0.1%
30.99506 1
0.1%
25.827578 1
0.1%
25.085247 1
0.1%
18.437864 1
0.1%
13.81963 1
0.1%
7.0421696 1
0.1%
5.852005 1
0.1%

radial_velocity_error
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1033
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean3.2597698
Minimum0.1514568
Maximum7.583919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-09-19T17:38:00.525825image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.1514568
5-th percentile0.30990853
Q11.0276436
median3.53297
Q34.9184581
95-th percentile7.3678579
Maximum7.583919
Range7.4324622
Interquartile range (IQR)3.8908146

Descriptive statistics

Standard deviation2.3988375
Coefficient of variation (CV)0.7358917
Kurtosis-1.0459103
Mean3.2597698
Median Absolute Deviation (MAD)2.1742514
Skewness0.38426638
Sum65.195396
Variance5.7544216
MonotonicityNot monotonic
2024-09-19T17:38:00.659148image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3.5710263 1
 
0.1%
0.90453434 1
 
0.1%
0.1514568 1
 
0.1%
3.7050126 1
 
0.1%
1.4899416 1
 
0.1%
7.583919 1
 
0.1%
4.8067074 1
 
0.1%
5.2537103 1
 
0.1%
1.031724 1
 
0.1%
1.3404392 1
 
0.1%
Other values (10) 10
 
0.9%
(Missing) 1033
98.1%
ValueCountFrequency (%)
0.1514568 1
0.1%
0.3182481 1
0.1%
0.5586284 1
0.1%
0.90453434 1
0.1%
1.0154022 1
0.1%
1.031724 1
0.1%
1.3404392 1
0.1%
1.4899416 1
0.1%
2.3488908 1
0.1%
3.4949136 1
0.1%
ValueCountFrequency (%)
7.583919 1
0.1%
7.3564863 1
0.1%
6.623964 1
0.1%
5.688942 1
0.1%
5.2537103 1
0.1%
4.8067074 1
0.1%
4.1817713 1
0.1%
3.769678 1
0.1%
3.7050126 1
0.1%
3.5710263 1
0.1%

Interactions

2024-09-19T17:37:39.292538image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:35:49.143905image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:35:53.215849image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:35:56.533650image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:35:59.594832image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:02.977926image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:06.344985image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:09.990163image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:13.815867image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:17.745663image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:20.794796image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:25.093531image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:28.394124image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:32.013619image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:35.352351image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:32.842263image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:20.328105image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:24.259159image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:27.974876image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:31.423663image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:34.716303image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:38.610461image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:43.568266image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:47.027643image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:50.445523image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:53.808803image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:58.112760image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:04.125472image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:08.225582image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:11.834450image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:15.542683image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:19.442618image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:23.427148image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:27.761545image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:31.267033image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:35.542207image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:38.742824image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:05.905112image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:17.090400image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:20.410680image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:24.504336image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:28.057527image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:31.570695image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:34.849873image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:38.945318image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:43.721967image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:50.660984image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:53.928861image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:31.511758image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:43.825603image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:47.244614image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:58.564900image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:04.344897image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:12.116021image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:15.812668image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:23.647309image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:35.810649image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:02.764460image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:06.161098image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:17.524079image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:28.227854image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:31.797146image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:36:47.375398image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:50.992290image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:36:54.198904image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:04.461223image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:08.611202image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:12.225497image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:15.945690image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:19.942264image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:23.762099image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:32.338835image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:39.096124image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:42.456044image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
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2024-09-19T17:37:32.512197image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:36.185116image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
2024-09-19T17:37:39.195994image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Missing values

2024-09-19T17:37:42.692482image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-19T17:37:43.244839image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-09-19T17:37:44.280570image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

df_indexpl_namehostnamediscoverymethoddisc_yearpl_orbperpl_radepl_bmassepl_eqtst_teffst_massst_radsy_distsy_vmagrastrdecstrCategorysolution_iddesignationsource_idradecparallaxpmrapmdecra_errordec_errorparallax_errorpmra_errorpmdec_errorastrometric_n_obs_alastrometric_n_good_obs_alastrometric_n_bad_obs_alphot_g_mean_magphot_bp_mean_magphot_rp_mean_magradial_velocityradial_velocity_error
00.0AU Mic bAU MicTransit2020.08.462999NaN20.12NaNNaN0.50NaN9.722108.81020h45m09.87s-31d20m32.82sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11.0AU Mic cAU MicTransit2021.018.858991NaN9.60NaNNaN0.50NaN9.722108.81020h45m09.87s-31d20m32.82sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
22.0BD-14 3065 bBD-14 3065 ATransit2024.04.28897321.5903932.002001.06935.01.412.35589.4230011.10010h14m40.72s-15d38m34.21sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
33.0DS Tuc A bDS Tuc ATransit2019.08.1382685.700NaN850.05428.01.010.9644.062208.17023h39m39.71s-69d11m45.75sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
44.0GJ 1252 bGJ 1252Transit2020.00.5182331.1931.32NaN3458.00.380.3920.3730012.68020h27m42.88s-56d27m44.23sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
55.0GJ 143 bGJ 143Transit2019.035.6125302.61022.70422.04640.00.730.6916.320008.08003h27m00.05s-63d30m00.60sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
66.0GJ 238 bGJ 238Transit2024.01.7447000.566NaN758.03485.00.420.4315.2142011.62006h33m49.17s-58d31m30.11sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
77.0GJ 3090 bGJ 3090Transit2022.02.8531052.1303.34693.03556.00.520.5222.4751011.40301h21m45.22s-46d42m53.00sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
88.0GJ 3473 bGJ 3473Transit2020.01.1980031.2641.86773.03347.00.360.3627.3644013.74008h02m22.47s+03d20m13.79sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
99.0GJ 357 bGJ 357Transit2019.03.9306001.200NaN518.03505.00.340.349.4418110.91009h36m01.79s-21d39m54.23sExoplanetNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
df_indexpl_namehostnamediscoverymethoddisc_yearpl_orbperpl_radepl_bmassepl_eqtst_teffst_massst_radsy_distsy_vmagrastrdecstrCategorysolution_iddesignationsource_idradecparallaxpmrapmdecra_errordec_errorparallax_errorpmra_errorpmdec_errorastrometric_n_obs_alastrometric_n_good_obs_alastrometric_n_bad_obs_alphot_g_mean_magphot_bp_mean_magphot_rp_mean_magradial_velocityradial_velocity_error
490NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23629297603032125442.362930e+1810.016956-19.5968280.1920045.9586851.6336730.0663170.0385050.0823870.0961120.097079429.0423.06.017.16250417.52161616.649778NaNNaN
491NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23709600391809701122.370960e+1810.016971-15.6134251.21585126.214229-6.1850470.2554430.1790330.3474210.4104870.368240298.0298.00.019.19603720.42200918.125778NaNNaN
492NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23773113723940252162.377311e+1810.016995-11.2336821.1710545.721439-6.4273860.0212540.0196560.0251540.0282840.029400248.0248.00.014.87418815.23417314.346371NaNNaN
493NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23701406667949660162.370141e+1810.017102-17.213876NaNNaNNaN16.4330716.211247NaNNaNNaN68.067.01.021.57444421.40322719.483774NaNNaN
494NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23768291334660261122.376829e+1810.017117-12.7003660.4912784.124112-7.3488210.3280220.3180420.4380100.4290730.511029249.0247.02.019.58621219.46584018.556000NaNNaN
495NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23768908049011896322.376891e+1810.017204-12.3757040.0701150.505754-0.9953770.9269860.8440471.1031791.5605431.293475144.0144.00.020.67222420.74881620.129860NaNNaN
496NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23739757633525080322.373976e+1810.017219-15.3545510.4778274.152381-1.7397040.9139030.6481851.0377361.4599691.272482207.0206.01.020.53138720.72874619.696054NaNNaN
497NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23705558698733200642.370556e+1810.017229-16.175711NaNNaNNaN9.6755295.536183NaNNaNNaN133.0130.03.021.35466219.43675218.273212NaNNaN
498NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23768973031864980482.376897e+1810.017271-12.2396260.2458109.503995-4.4672760.4888200.5306510.6194080.7579080.818815226.0225.01.020.19020020.49884019.527103NaNNaN
499NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNStar1.636148e+18Gaia DR3 23740132498278973442.374013e+1810.017284-15.1788040.8775154.210467-1.7721940.5937060.5910660.7508330.8170960.979785219.0217.02.020.48556021.37491219.319157NaNNaN